Node.js Web Scraping & Data Extraction Tool
An enterprise-grade node tool engineered to scrape, structure, and export large-scale targeted datasets securely while managing request rates to prevent server timeouts.
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Node.js Developer & API Architect
Factual backend engineering, secure token-based authentication (JWT), microservices structure, and scalable database connections.
Building High-Concurrency Backend Systems
Santosh Gautam engineers high-performance backend systems with Node.js. Utilizing asynchronous design patterns and event-driven architectures, he delivers secure middleware, robust JWT/OAuth integration, real-time messaging, and high-speed data caching with Redis.
Asynchronous APIs
Engineering RESTful architectures designed with low-latency routes, structured request validators, clean error handling, and robust CORS configurations.
Caching & Data Pipeline
Optimizing SQL query patterns in MySQL and schema structures in MongoDB, accelerated with in-memory Redis caching states to handle extensive client loads.
Demonstrated Projects
Backend Services FAQ
How are secure authentication systems structured?
Secure routes utilize stateless JSON Web Token (JWT) strategies where user claims are cryptographically signed. Refresh tokens are stored securely in HttpOnly, SameSite cookies to protect from CSRF and XSS attacks.
What database patterns are used in Node.js backends?
Relational data uses MySQL with optimized indexes, foreign keys, and transaction states. Document/NoSQL data is implemented using MongoDB with strict schema validation checks and deep lookup pipeline optimization.